Driving Camera Move Desk from code
Everything the web app does is available over HTTP. The base URL is
https://api.skillsafe.ai/v1/app-api, every request carries
Authorization: Bearer <token>, and every response is the same envelope.
The task field comes first
This app has five lanes behind one endpoint. Every run body must carry a
task field naming the lane - it is what the system prompt routes on. Send
the wrong one and you get a valid package of the wrong kind; omit it and the model picks the
closest lane and tells you which it chose.
One more shape trap: the run body is the input object. Do not wrap it in an
{"input": ...} envelope - that returns 200 while hiding task from the
model, which is the most confusing way this API can fail.
| task | Lane | Fields | Sections returned |
|---|---|---|---|
pick | Move selection | beat, emotion, seconds, shot_type, from_framing, to_framing | Summary, Move Shortlist, Ruled Out, Chosen Move, Duration Plan, Next Step |
shot | Shot prompt | beat, move, seconds, shot_type, from_framing, to_framing, travel, look, draft | Summary, Move Plan, Shot Prompt, Framing Check, Next Step |
face | Performance schedule | arc, seconds, move, scene, draft | Summary, Beat Schedule, Performance Prompt, Limits Check, Next Step |
list | Shot list | sequence, envelope, look, must_include | Summary, Shot List, Duration Budget, Coverage Check, Next Step |
fix | Take triage | prompt, symptom, takes, verdict, seconds, shot_type | Summary, Verdict, Diagnosis, One Variable, Revised Prompt, Next Step |
Only task, seconds and the lane's own required field are mandatory:
beat for pick and shot, arc for face, sequence and
envelope for list, and prompt plus symptom for fix.
Everything else has a sensible default. seconds, envelope and
takes are numbers, not strings - sending "8" where 8 is
expected is the most common 400.
move must be a name from the catalogue, spelled exactly; the full list is in
llms.txt. shot_type is what turns the duration band from a
guess into a check, so state it.
Add $model to any body to choose the model for that run:
gpt-5.6-luna, gpt-5.6-terra (the default) or gpt-5.6-sol.
Luna caps output at 4,096 tokens and will fail the pick, list and fix lanes rather than shorten
them.
The response envelope
Success and failure have the same outer shape, so one check covers both.
{
"ok": true,
"data": {
"...": "the result"
}
}
{
"ok": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "seconds should be number, got string",
"details": {}
}
}
| HTTP | error.code | What it means |
|---|---|---|
400 | VALIDATION_ERROR | The body was not a JSON object, or a declared field had the wrong type. A number field sent as a string is the usual cause. |
401 | UNAUTHORIZED | No token, or a token that has expired or been revoked. Mint a new one. |
402 | INSUFFICIENT_CREDITS | The balance is below the run's minimum. Call /estimate first and compare hold_credits against /me. |
404 | NOT_FOUND | Wrong path, or a job id that does not belong to this token. |
409 | CONFLICT | An Idempotency-Key replay whose body differs from the original request. |
429 | RATE_LIMITED | Too many requests. Back off; do not tight-loop. |
503 | UPSTREAM_UNAVAILABLE | The model provider is unavailable. Retry with backoff. |
1. Get a token
Open /tokens.html in a browser and copy the token this app already
holds - no developer console needed. A guest token is minted automatically and
is enough for /me and /estimate; writing a package is metered and needs
a personal token, which comes from signing in on that page.
Keep it in an environment variable rather than in source:
export SKILLSAFE_TOKEN="YOUR_TOKEN"
2. Check the session and the balance
GET /me is free. It returns only three fields: subject_type,
subject_id and credits. Signed-in means
subject_type == "user" - there is no username or email to test.
curl -sS -X GET "https://api.skillsafe.ai/v1/app-api/me" \ -H "Authorization: Bearer $SKILLSAFE_TOKEN"
import json, urllib.request
TOKEN = "YOUR_TOKEN" # from /tokens.html
BASE = "https://api.skillsafe.ai/v1/app-api"
def call(method, path, payload=None, headers=None):
data = json.dumps(payload).encode() if payload is not None else None
req = urllib.request.Request(BASE + path, data=data, method=method)
req.add_header("Authorization", "Bearer " + TOKEN)
req.add_header("Content-Type", "application/json")
req.add_header("Accept", "application/json")
# A plain urllib request with no User-Agent is refused with 403.
req.add_header("User-Agent", "camera-move-desk-client/1.0")
for k, v in (headers or {}).items():
req.add_header(k, v)
with urllib.request.urlopen(req) as r:
return json.loads(r.read())
out = call("GET", "/me")
print(json.dumps(out["data"], indent=2))
const TOKEN = "YOUR_TOKEN"; // from /tokens.html
const BASE = "https://api.skillsafe.ai/v1/app-api";
async function call(method, path, payload) {
const res = await fetch(BASE + path, {
method,
headers: {
"Authorization": `Bearer ${TOKEN}`,
"Content-Type": "application/json"
},
body: payload === undefined ? undefined : JSON.stringify(payload)
});
const json = await res.json();
if (!res.ok || !json.ok) throw new Error(json.error?.message || res.statusText);
return json.data;
}
const data = await call("GET", "/me");
console.log(data);
package main
import (
"bytes"
"fmt"
"io"
"net/http"
)
const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html
func main() {
req, _ := http.NewRequest("GET", base+"/me", nil)
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("Content-Type", "application/json")
res, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer res.Body.Close()
out, _ := io.ReadAll(res.Body)
fmt.Println(string(out))
}
import java.net.URI;
import java.net.http.*;
public class Main {
static final String BASE = "https://api.skillsafe.ai/v1/app-api";
static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html
public static void main(String[] args) throws Exception {
HttpRequest req = HttpRequest.newBuilder()
.uri(URI.create(BASE + "/me"))
.header("Authorization", "Bearer " + TOKEN)
.header("Content-Type", "application/json")
.method("GET", HttpRequest.BodyPublishers.noBody())
.build();
HttpResponse<String> res = HttpClient.newHttpClient()
.send(req, HttpResponse.BodyHandlers.ofString());
System.out.println(res.body());
}
}
require 'net/http'
require 'json'
require 'uri'
BASE = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html
uri = URI("#{BASE}/me")
req = Net::HTTP::Get.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])
<?php
$base = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html
$opts = ["http" => [
"method" => "GET",
"header" => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
]];
$res = file_get_contents($base . "/me", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);
using System.Net.Http;
using System.Text;
const string Base = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html
var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");
var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("GET"), Base + "/me")
{
Content = null
});
Console.WriteLine(await res.Content.ReadAsStringAsync());
3. Price the run before making it
POST /estimate costs nothing, creates no job, and returns the worst-case cost.
Compare hold_credits against the balance from step 2 before you submit: a 402 after
the fact is avoidable. hold_credits is a reservation priced at the full
output cap - the actual charge is usually far lower.
It also echoes model, model_alias and markup_bps, which is
the authoritative check that a run is bound to the model you think it is. Estimate each lane
separately: their prompts and caps differ, so their holds do.
curl -sS -X POST "https://api.skillsafe.ai/v1/app-api/estimate" \
-H "Authorization: Bearer $SKILLSAFE_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}'
import json, urllib.request
TOKEN = "YOUR_TOKEN" # from /tokens.html
BASE = "https://api.skillsafe.ai/v1/app-api"
def call(method, path, payload=None, headers=None):
data = json.dumps(payload).encode() if payload is not None else None
req = urllib.request.Request(BASE + path, data=data, method=method)
req.add_header("Authorization", "Bearer " + TOKEN)
req.add_header("Content-Type", "application/json")
req.add_header("Accept", "application/json")
# A plain urllib request with no User-Agent is refused with 403.
req.add_header("User-Agent", "camera-move-desk-client/1.0")
for k, v in (headers or {}).items():
req.add_header(k, v)
with urllib.request.urlopen(req) as r:
return json.loads(r.read())
payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
out = call("POST", "/estimate", payload)
print(out["data"]["hold_credits"], out["data"]["model"])
const TOKEN = "YOUR_TOKEN"; // from /tokens.html
const BASE = "https://api.skillsafe.ai/v1/app-api";
async function call(method, path, payload) {
const res = await fetch(BASE + path, {
method,
headers: {
"Authorization": `Bearer ${TOKEN}`,
"Content-Type": "application/json"
},
body: payload === undefined ? undefined : JSON.stringify(payload)
});
const json = await res.json();
if (!res.ok || !json.ok) throw new Error(json.error?.message || res.statusText);
return json.data;
}
const payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
};
const data = await call("POST", "/estimate", payload);
console.log(data.hold_credits, data.model, data.model_alias);
package main
import (
"bytes"
"fmt"
"io"
"net/http"
)
const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html
func main() {
payload := []byte(`{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}`)
req, _ := http.NewRequest("POST", base+"/estimate", bytes.NewReader(payload))
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("Content-Type", "application/json")
res, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer res.Body.Close()
out, _ := io.ReadAll(res.Body)
fmt.Println(string(out))
}
import java.net.URI;
import java.net.http.*;
public class Main {
static final String BASE = "https://api.skillsafe.ai/v1/app-api";
static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html
public static void main(String[] args) throws Exception {
String payload = """
{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
""";
HttpRequest req = HttpRequest.newBuilder()
.uri(URI.create(BASE + "/estimate"))
.header("Authorization", "Bearer " + TOKEN)
.header("Content-Type", "application/json")
.method("POST", HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> res = HttpClient.newHttpClient()
.send(req, HttpResponse.BodyHandlers.ofString());
System.out.println(res.body());
}
}
require 'net/http'
require 'json'
require 'uri'
BASE = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html
payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
uri = URI("#{BASE}/estimate")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = JSON.dump(payload)
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])
<?php
$base = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html
$payload = json_encode([
"task" => "shot",
"beat" => "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move" => "Dolly Out",
"seconds" => 8,
"shot_type" => "reaction",
"from_framing" => "medium close",
"to_framing" => "wide",
"travel" => "2 metres",
"look" => "single cold overhead practical, no fill"
]);
$opts = ["http" => [
"method" => "POST",
"header" => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
"content" => $payload,
]];
$res = file_get_contents($base . "/estimate", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);
using System.Net.Http;
using System.Text;
const string Base = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html
var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");
var payload = """
{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
""";
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("POST"), Base + "/estimate")
{
Content = content
});
Console.WriteLine(await res.Content.ReadAsStringAsync());
4. Write a package
POST /run submits the job. Always send an Idempotency-Key: a network
blip that replays the same request must not bill twice. A replay with the same key returns the
stored result and is not charged again; a replay with the same key but a different body
is a 409.
The response carries output.output (the Markdown package), charged_credits
and truncated. If truncated is true the balance sat between
min_credits and hold_credits and the output was cut short - render what
arrived and say so rather than presenting it as complete.
curl -sS -X POST "https://api.skillsafe.ai/v1/app-api/run" \
-H "Authorization: Bearer $SKILLSAFE_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}'
import json, urllib.request
TOKEN = "YOUR_TOKEN" # from /tokens.html
BASE = "https://api.skillsafe.ai/v1/app-api"
def call(method, path, payload=None, headers=None):
data = json.dumps(payload).encode() if payload is not None else None
req = urllib.request.Request(BASE + path, data=data, method=method)
req.add_header("Authorization", "Bearer " + TOKEN)
req.add_header("Content-Type", "application/json")
req.add_header("Accept", "application/json")
# A plain urllib request with no User-Agent is refused with 403.
req.add_header("User-Agent", "camera-move-desk-client/1.0")
for k, v in (headers or {}).items():
req.add_header(k, v)
with urllib.request.urlopen(req) as r:
return json.loads(r.read())
payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
out = call("POST", "/run", payload)
print(out["data"]["output"]["output"])
const TOKEN = "YOUR_TOKEN"; // from /tokens.html
const BASE = "https://api.skillsafe.ai/v1/app-api";
async function call(method, path, payload) {
const res = await fetch(BASE + path, {
method,
headers: {
"Authorization": `Bearer ${TOKEN}`,
"Content-Type": "application/json"
},
body: payload === undefined ? undefined : JSON.stringify(payload)
});
const json = await res.json();
if (!res.ok || !json.ok) throw new Error(json.error?.message || res.statusText);
return json.data;
}
const payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
};
const data = await call("POST", "/run", payload);
console.log(data.output.output);
package main
import (
"bytes"
"fmt"
"io"
"net/http"
)
const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html
func main() {
payload := []byte(`{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}`)
req, _ := http.NewRequest("POST", base+"/run", bytes.NewReader(payload))
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("Content-Type", "application/json")
res, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer res.Body.Close()
out, _ := io.ReadAll(res.Body)
fmt.Println(string(out))
}
import java.net.URI;
import java.net.http.*;
public class Main {
static final String BASE = "https://api.skillsafe.ai/v1/app-api";
static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html
public static void main(String[] args) throws Exception {
String payload = """
{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
""";
HttpRequest req = HttpRequest.newBuilder()
.uri(URI.create(BASE + "/run"))
.header("Authorization", "Bearer " + TOKEN)
.header("Content-Type", "application/json")
.method("POST", HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> res = HttpClient.newHttpClient()
.send(req, HttpResponse.BodyHandlers.ofString());
System.out.println(res.body());
}
}
require 'net/http'
require 'json'
require 'uri'
BASE = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html
payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
uri = URI("#{BASE}/run")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = JSON.dump(payload)
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])
<?php
$base = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html
$payload = json_encode([
"task" => "shot",
"beat" => "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move" => "Dolly Out",
"seconds" => 8,
"shot_type" => "reaction",
"from_framing" => "medium close",
"to_framing" => "wide",
"travel" => "2 metres",
"look" => "single cold overhead practical, no fill"
]);
$opts = ["http" => [
"method" => "POST",
"header" => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
"content" => $payload,
]];
$res = file_get_contents($base . "/run", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);
using System.Net.Http;
using System.Text;
const string Base = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html
var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");
var payload = """
{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
""";
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("POST"), Base + "/run")
{
Content = content
});
Console.WriteLine(await res.Content.ReadAsStringAsync());
5. Stream a run
POST /run-stream is the same call with a text/event-stream response.
Worth knowing before you build on it: from a server or from cURL you get
event: delta frames carrying the output token by token; from a browser you get
event: tick heartbeats and then one event: done with the whole
output. Handle both, and treat ticks as liveness rather than progress.
Frame types are job (the job id), delta ({"text": "..."}),
tick ({"t": seconds}), done, and error. An
idempotent replay returns plain JSON with no stream at all, so check the content type before you
start reading frames.
curl -sS -N -X POST "https://api.skillsafe.ai/v1/app-api/run-stream" \
-H "Authorization: Bearer $SKILLSAFE_TOKEN" \
-H "Content-Type: application/json" \
-H "Accept: text/event-stream" \
-H "Idempotency-Key: cmd-$(date +%s)" \
-d '{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}'
import json, urllib.request
TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
req = urllib.request.Request(BASE + "/run-stream", data=json.dumps(payload).encode(), method="POST")
req.add_header("Authorization", "Bearer " + TOKEN)
req.add_header("Content-Type", "application/json")
req.add_header("Accept", "text/event-stream")
req.add_header("Idempotency-Key", "cmd-demo-1")
req.add_header("User-Agent", "camera-move-desk-client/1.0")
event, data = "message", ""
with urllib.request.urlopen(req) as r:
for raw in r:
line = raw.decode().rstrip("\n")
if line.startswith("event:"):
event = line[6:].strip()
elif line.startswith("data:"):
data += line[5:].strip()
elif line == "":
if data:
frame = json.loads(data)
if event == "delta":
print(frame.get("text", ""), end="")
elif event == "done":
print("\n--- charged:", frame.get("charged_credits"))
event, data = "message", ""
const TOKEN = "YOUR_TOKEN";
const BASE = "https://api.skillsafe.ai/v1/app-api";
const payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
};
const res = await fetch(BASE + "/run-stream", {
method: "POST",
headers: {
"Authorization": `Bearer ${TOKEN}`,
"Content-Type": "application/json",
"Idempotency-Key": "cmd-demo-1"
},
body: JSON.stringify(payload)
});
// An idempotent replay comes back as plain JSON with no stream at all.
if (!(res.headers.get("content-type") || "").includes("text/event-stream")) {
const json = await res.json();
console.log(json.data.output.output);
} else {
const reader = res.body.getReader();
const dec = new TextDecoder();
let buf = "";
for (;;) {
const { done, value } = await reader.read();
if (done) break;
buf += dec.decode(value, { stream: true });
let i;
while ((i = buf.indexOf("\n\n")) >= 0) {
const frame = buf.slice(0, i);
buf = buf.slice(i + 2);
let name = "message", data = "";
for (const line of frame.split("\n")) {
if (line.startsWith("event:")) name = line.slice(6).trim();
else if (line.startsWith("data:")) data += line.slice(5).trim();
}
if (!data) continue;
const p = JSON.parse(data);
if (name === "delta") process.stdout.write(p.text || "");
if (name === "tick") console.error("still writing:", p.t + "s");
if (name === "done") console.log("\ncharged:", p.charged_credits);
}
}
}
package main
import (
"bytes"
"fmt"
"io"
"net/http"
)
const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN" // from /tokens.html
func main() {
payload := []byte(`{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}`)
req, _ := http.NewRequest("POST", base+"/run-stream", bytes.NewReader(payload))
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("Content-Type", "application/json")
res, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer res.Body.Close()
out, _ := io.ReadAll(res.Body)
fmt.Println(string(out))
}
import java.net.URI;
import java.net.http.*;
public class Main {
static final String BASE = "https://api.skillsafe.ai/v1/app-api";
static final String TOKEN = "YOUR_TOKEN"; // from /tokens.html
public static void main(String[] args) throws Exception {
String payload = """
{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
""";
HttpRequest req = HttpRequest.newBuilder()
.uri(URI.create(BASE + "/run-stream"))
.header("Authorization", "Bearer " + TOKEN)
.header("Content-Type", "application/json")
.method("POST", HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> res = HttpClient.newHttpClient()
.send(req, HttpResponse.BodyHandlers.ofString());
System.out.println(res.body());
}
}
require 'net/http'
require 'json'
require 'uri'
BASE = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # from /tokens.html
payload = {
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
uri = URI("#{BASE}/run-stream")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = JSON.dump(payload)
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.pretty_generate(JSON.parse(res.body)["data"])
<?php
$base = "https://api.skillsafe.ai/v1/app-api";
$token = "YOUR_TOKEN"; // from /tokens.html
$payload = json_encode([
"task" => "shot",
"beat" => "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move" => "Dolly Out",
"seconds" => 8,
"shot_type" => "reaction",
"from_framing" => "medium close",
"to_framing" => "wide",
"travel" => "2 metres",
"look" => "single cold overhead practical, no fill"
]);
$opts = ["http" => [
"method" => "POST",
"header" => "Authorization: Bearer $token\r\nContent-Type: application/json\r\n",
"content" => $payload,
]];
$res = file_get_contents($base . "/run-stream", false, stream_context_create($opts));
$json = json_decode($res, true);
print_r($json["data"]);
using System.Net.Http;
using System.Text;
const string Base = "https://api.skillsafe.ai/v1/app-api";
const string Token = "YOUR_TOKEN"; // from /tokens.html
var http = new HttpClient();
http.DefaultRequestHeaders.Add("Authorization", $"Bearer {Token}");
var payload = """
{
"task": "shot",
"beat": "She stands still at the end of a narrow corridor, holding an opened letter, and reads the first line without moving.",
"move": "Dolly Out",
"seconds": 8,
"shot_type": "reaction",
"from_framing": "medium close",
"to_framing": "wide",
"travel": "2 metres",
"look": "single cold overhead practical, no fill"
}
""";
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var res = await http.SendAsync(new HttpRequestMessage(new HttpMethod("POST"), Base + "/run-stream")
{
Content = content
});
Console.WriteLine(await res.Content.ReadAsStringAsync());
6. Read the result
output.output is Markdown in the envelope this app's system prompt guarantees: every
section is a level-two heading spelled exactly as listed in the lane table above, in that order;
tables are GitHub pipe tables with the declared columns; prompts are in fenced blocks opened with
three backticks and the word text; checklists are - [x] lines.
So parsing is a split on /^## / - but do it fence-aware, because a prompt block can
legitimately contain a line starting with ##. Count the sections you got against the
ones the lane declares: a short list means the run was truncated, not that the contract changed.
def sections(md):
out, name, buf, fence = {}, None, [], False
for line in md.split("\n"):
if line.lstrip().startswith("```"):
fence = not fence
if not fence and line.startswith("## "):
if name:
out[name] = "\n".join(buf).strip()
name, buf = line[3:].strip(), []
continue
if name:
buf.append(line)
if name:
out[name] = "\n".join(buf).strip()
return out
The artifact most callers want is the fenced text block inside
## Shot Prompt, ## Performance Prompt or
## Revised Prompt - that is what you paste into the platform. The tables beside it
are the reasoning, not the deliverable.
Rate limits and good manners
/estimateand/meare free. Call them as much as you like, within reason.- A 429 means back off with a delay, not retry immediately.
- Send an
Idempotency-Keyon every/run. Derive it from a hash of the body plus an attempt counter, so a retry of the same request reuses the key and a deliberate re-run gets a new one. - The move checker in the web app is client-side only and has no endpoint. The full catalogue
and every rule it enforces are published in llms.txt so you can encode
the same checks in your own pipeline. Its findings are sent with every run that has a prompt
to check, as
prescan, and the system prompt requires answering them.